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MySQL 8 for Big Data

You're reading from   MySQL 8 for Big Data Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788397186
Length 296 pages
Edition 1st Edition
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Authors (4):
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Chintan Mehta Chintan Mehta
Author Profile Icon Chintan Mehta
Chintan Mehta
Shabbir Challawala Shabbir Challawala
Author Profile Icon Shabbir Challawala
Shabbir Challawala
Jaydip Lakhatariya Jaydip Lakhatariya
Author Profile Icon Jaydip Lakhatariya
Jaydip Lakhatariya
Kandarp Patel Kandarp Patel
Author Profile Icon Kandarp Patel
Kandarp Patel
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Big Data and MySQL 8 FREE CHAPTER 2. Data Query Techniques in MySQL 8 3. Indexing your data for High-Performing Queries 4. Using Memcached with MySQL 8 5. Partitioning High Volume Data 6. Replication for building highly available solutions 7. MySQL 8 Best Practices 8. NoSQL API for Integrating with Big Data Solutions 9. Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop 10. Case study: Part II - Real time event processing using MySQL applier

Basics of MySQL

MySQL is a well-known open source structured database because of its performance, easiness to use, and reliability. This is the most common choice of web applications for a relational database. In the current market, thousands of web-based applications rely on MySQL including giant industries like Facebook, Twitter, and Wikipedia. It has also proven the database choice for SaaS (Software as a Service) based applications like SugarCRM, Supply Dynamics, Workday, RightNow, Omniture, and Zimbra. MySQL was developed by MySQL AB, a Swedish company, and now it is distributed and supported by Oracle Corporation.

MySQL as a relational database management system

Data in a relational database is stored in an organized format so that information can be retrieved easily. Data will be stored in different tables made up of rows and columns. However, the relationship also can be built between different tables that efficiently store huge data and effectively retrieve the selected data. This provides database operations with tremendous speed and flexibility.

As a relational database, MySQL has capabilities to establish relationships with different tables such as one to many, many to one, and one to one by providing primary keys, foreign keys, and indexes. We can also perform joins between tables to retrieve exact information like inner joins and outer joins.

SQL (Structured Query Language) is used as an interface to interact with the relational data in MySQL. SQL is an ANSI (American National Standard Institute) standard language which we can operate with data like creation, deletion, updating, and retrieval.

Licensing

Many industries prefer open source technology for their flexibility and cost-saving features, while MySQL has put its footprint in the market by becoming the most popular relational database for web applications. Open source means that you can view the source of MySQL and customize it based on your needs without any cost. You can download the source or binary files from its site and use them accordingly.

The MySQL server is covered under the GNU (General Public License), which means that we can freely use it for web applications, study its source code, and modify accordingly. It also has the enterprise edition as well with advanced features included. Many enterprises purchase enterprise support from MySQL to get assistance on various issues.

Reliability and scalability

MySQL has great reliability to perform well without requiring extensive troubleshooting due to bottlenecks or other slowdowns. It also incorporates a number of performance-enhanced mechanisms such as index support, load utilities, and memory caches. MySQL uses InnoDB as a storage engine, which provides highly efficient ACID-compliant transactional capabilities that assure high performance and scalability. To handle the rapidly growing database, MySQL Replication and cluster helps scale out the database.

Platform compatibility

MySQL has great cross-platform availability that makes it more popular. It is flexible to run on major platforms such as RedHat, Fedora, Ubuntu, Debian, Solaris, Microsoft Windows, and Apple macOS. It also provides Application Programming Interface (APIs) to interconnect with various programming languages such as C, C++, C#, PHP, Java, Ruby, Python, and Perl.

Releases

Here is a list of major releases of MySQL so far:

  • Version 5.0 GA was released on 19th October, 2005
  • Version 5.1 GA was released on 14th November, 2008
  • Version 5.5 GA was released on 3rd December, 2010
  • Version 5.6 GA was released on 5th February, 2013
  • Version 5.7 GA was released on 21st October, 2015

Now it's time for the major version release--MySQL 8--which was announced on 12th September, 2016 and is still in the development milestone mode. Let's see what's new in this latest release.

You have been reading a chapter from
MySQL 8 for Big Data
Published in: Oct 2017
Publisher: Packt
ISBN-13: 9781788397186
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